Bibliographic record
Abstract
The above title of the research paper, I wish to present as a theoretical paper. The research paper will outline and discuss a method of emotions and communication that mingled with cultural perception. The aim of this method is to integrate recent developments in emotions research into a communication-theoretical framework in the study. Cultural studies of emotions originated from anthropology , sociology and psychology . The first accounts of emotion from a cultural perspective were ethnographic , and described emotions as idiosyncratic . Researchers such as Margaret Mead , Gregory Bateson and Jean Briggs described unique emotional phenomena and stressed emotions as culturally determined . For example, Briggs lived among the Utku Inuit and described a society where anger and aggression almost never occur, despite the common western notion that anger is a primitive universal emotion. Although these ethnographic studies point to considerable cultural differences, no general conclusions can be drawn from them regarding what cultural aspects affect emotions, or what level the culture influence. For example, it might be that the same emotions are experienced by all human beings; however the events that evoke them or the reactions they cause differ across cultures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".